Corporate blog
Materials on enterprise systems, data integration, process automation and information system operations.
ESB or event streaming: Choosing for diverse integration requirements
When choosing between ESB and event streaming, architects must consider data consistency, latency, event replayability, and operational impacts. This article provides a practical matrix for making informed architectural decisions.
Managing Data Quality Rules: Exceptions and the Cost of Errors
Architecting Data Quality Rules as a product involves defining clear ownership, establishing an efficient workflow for exceptions, and implementing a methodology for measuring economic impact. This approach ensures data integrity and optimizes costs.
Strangler Pattern vs. modular monolith: choosing a modernization strategy
Selecting the right architectural approach for modernizing legacy systems is a critical decision for any CTO. This article compares the Strangler Pattern and the Modular Monolith, offering a practical framework for making an informed choice.
SLA for application systems: availability versus business operability
Distinguishing between technical availability and business operability in an SLA is critical for IT leaders. This enables informed architectural decisions and effective expectation management.
EDMS migration without document flow interruption: a parallel operation plan
Public sector IT infrastructure leaders face the challenge of EDMS migration while maintaining business continuity and the legal validity of document flow. This article proposes an architectural solution for parallel operation, analyzing key criteria, risks, and operational implications.
Process Mining: Event log suitability for automation
Assessing event logs for Process Mining requires verifying the presence of unique case identifiers, precise timestamps, and detailed activity attributes. This is critical for reliable process modeling and well-founded architectural decisions regarding automation.
MDM without centralization: Defining master system boundaries
Defining the boundaries of master systems is a critical architectural decision for successful MDM. This approach helps avoid excessive centralization and ensures data quality.
Process Mining: Finding Bottlenecks That Are Invisible on Paper
How Process Mining reveals real business process bottlenecks by analyzing digital traces in your IT systems.
Data Quality: The Real Cost of Errors in Corporate Directories
Analyzing the real cost of poor data quality for business: error types, quality metrics, and the 1-10-100 rule.
Qualified Electronic Signatures: A Practical Guide for Organizations
A practical guide to implementing qualified electronic signatures in your organization: signature types, EDMS integration, and organizational aspects.